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Anthropic's Dario Amodei calls AI backlash 'a crisis of trust'

Amodei pushes back on investor Gavin Baker's claim that his AI warnings have fueled US opposition to data centers and new regulation.

Jaeden Schafer
Editor in Chief · · 5 min read
Anthropic logo

Anthropic CEO Dario Amodei is pushing back on the idea that his own warnings about AI risk have soured the American public on the technology. In a response posted to X on August 15, 2026, Amodei rejected the claim that his messaging has been 'disproportionately negative' and argued the wider backlash against AI, and against the data centers that power it, is 'fundamentally a crisis of trust' that predates the current AI cycle by decades.

The exchange started with investor Gavin Baker, who used the All-In podcast and X to argue that Amodei has 'lost the argument' on AI regulation and is helping fuel opposition to the industry he leads. Anthropic has backed a California bill imposing transparency requirements on large AI companies, a stance Baker treats as evidence of the problem.

he is about to be the CEO of one of the most important companies in the world
Gavin Baker, Investor

Baker's pitch to Amodei was blunt: given the stakes of the company he runs, Amodei should be selling the upside more aggressively. Amodei disagreed with the framing and the diagnosis.

Key facts

  • 01Anthropic CEO Dario Amodei publicly rejected investor Gavin Baker's claim on August 15, 2026 that his AI warnings fueled US backlash against data centers.
  • 02Amodei said his messaging has been 'about equally balanced between risks and benefits,' citing his essay 'Machines of Loving Grace' as the pro-AI side.
  • 03Baker's critique aired on the All-In podcast and on X, arguing Amodei has 'lost the argument' on AI regulation.
  • 04Anthropic has backed a California transparency bill that imposes disclosure requirements on large AI companies.
  • 05Amodei framed the AI backlash as the latest iteration of a decades-long crisis of public trust in companies, governments, and the tech industry.

Amodei said his written output has been 'about equally balanced between risks and benefits,' pointing to his essay 'Machines of Loving Grace' as an explicit attempt to counter what he saw as an insufficiently ambitious industry narrative about AI's upside. He acknowledged that public sentiment toward AI is negative, and called that a big problem, but rejected the premise that he or other AI executives raising safety concerns are the primary cause.

I think it is fundamentally a crisis of trust.
Dario Amodei, Anthropic CEO

Instead, Amodei placed the blame on a much older erosion of public confidence. Ordinary people, he wrote, don't trust companies, governments, or the tech industry, and assume any new technology is a fresh way to be exploited. The current wave of AI skepticism, in his telling, is the latest iteration of that pattern rather than a fresh phenomenon triggered by safety discourse.

He was harsher on the industry's actual record than on its messaging. The most accurate criticism of AI companies, including Anthropic, is that they haven't yet delivered on their big promises to benefit the world, Amodei said, calling that 'totally on us' and framing it as the substantive critique Baker should be making instead of focusing on tone. He added that Anthropic is 'doing our best to fix this.'

On regulation, Amodei rejected what he called a 'false choice' between unregulated wide distribution of AI and regulatory capture that concentrates the technology inside a handful of incumbents. He acknowledged the Silicon Valley shorthand that equates regulation with concentration of power, but said many people outside that bubble see regulation as a check on corporate power that benefits ordinary people.

We try very hard to make proposals that disadvantage (slow down) frontier AI companies while *advantaging* smaller competitors.
Dario Amodei, Anthropic CEO

Amodei said he doesn't fully endorse either view, which is why Anthropic tries to shape its policy proposals to slow frontier labs while giving smaller competitors room to operate. Whether that framing survives contact with the actual text of bills like the California transparency law is a separate argument, and one Anthropic's rivals, including OpenAI, have publicly contested.

Related · from this week
China state paper calls Anthropic's slow-AI push a Cold War tactic
Jaeden Schafer · 4 min read →

The subtext of the Baker–Amodei exchange is a widening split inside the AI industry over how to talk to the public. One camp, associated with Sam Altman and Mark Zuckerberg, has been leaning harder into an abundance-and-opportunity message as scrutiny of data center buildouts intensifies. Another camp, including Amodei, argues that credibility on safety is what gives the industry any standing to make those promises at all — and that skipping straight to the sales pitch is precisely what has cost tech its trust over the past two decades.

Baker's criticism reflects a real investor anxiety: opposition to AI infrastructure is now showing up in local siting fights, permitting delays, and state-level bills, and every additional month of friction has a cost that lands directly on frontier lab economics. From that seat, an AI CEO who talks about existential risk on podcasts looks like a liability.

The counter-case Amodei is making is that the trust deficit is structural, and pretending it away with better marketing won't move public opinion when the underlying complaint is that AI companies haven't yet shipped the transformative benefits they've been promising. On that specific point — deliver the goods, then the messaging problem shrinks — he and his critics may actually agree more than the argument suggests.

The bigger question for the AI market is which theory of persuasion frontier labs act on over the next 12 months. If Anthropic keeps backing disclosure regimes while OpenAI and Meta lean on abundance messaging, the industry's regulatory posture will fragment right as state and federal AI rules move from draft to law. That fragmentation, not the tone of any single CEO's tweets, is what will actually shape where data centers get built and which companies get to build the next generation of models.

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